Senior Platform Engineer - AI/ML Focus in Pune, India

BP is undergoing a significant transformation to become a leading renewable energy provider and achieve net zero emissions by 2050. To support this ambitious transition, we are seeking experienced Senior AI Platform Engineers to architect and maintain the critical infrastructure that powers our AI and ML initiatives across the organization. This role is based in Pune, India.

We are looking for professionals with a robust background in Azure and AWS cloud services, Databricks, OpenAI, MLOps practices, and Azure DevOps. As a vital member of our technology team, you will lead the design, development, and optimization of scalable and reliable AI platforms, driving innovation in generative AI and machine learning.

Key Responsibilities:

• Lead the design and implementation of scalable AI/ML infrastructure on Azure and AWS.
• Build and manage cloud-native infrastructure (Azure, AWS, Databricks) for AI workloads using Infrastructure-as-Code (IaC) tools like Terraform and Bicep.
• Create reusable self-service tooling, templates, and CI/CD workflows for data scientists and ML engineers.
• Govern AI systems with access control, audit trails, policy enforcement, and compliance monitoring (e.g., GDPR).
• Implement GenAI workloads using Azure AI Foundry, Azure AI Hub, Azure OpenAI, Amazon Bedrock, Anthropic Claude, Hugging Face, LangChain, etc.
• Implement infrastructure and DevOps practices for Agentic AI solutions using native Azure and AWS AI services.
• Collaborate with security and architecture teams to embed cloud security best practices in the AI platform.
• Contribute to incident response, troubleshooting, and root cause analysis of ML and GenAI workload failures and latency issues.
• Implement MLOps practices to manage and optimize the lifecycle of machine learning models, including monitoring, versioning, and retraining.
• Collaborate with data scientists, software engineers, and other stakeholders to ensure effective integration of AI solutions within the business.
• Stay up to date with the latest advancements in AI, cloud computing, and DevOps practices, and integrate relevant technologies into the platform.
• Review Weekly/bi-weekly Cloud Cost Reports. Identify and lead the efforts for any cloud cost-savings opportunities.
• Mentor junior engineers, providing technical leadership and fostering a culture of continuous learning.
• Ensure compliance with industry standards and best practices for data security and privacy.

Required Qualifications:

• Bachelor’s or master’s degree or equivalent experience in computer science, engineering, information systems, or a numerate degree.
• 8 - 10+ years of experience in platform engineering, with a proven track record of designing, deploying, and managing scalable and secure cloud-based infrastructures, leveraging both Azure and AWS services.
• Experience with Azure services such as Azure AI services, Azure Search, Azure ML, Databricks, Azure Kubernetes Service, and AWS services like AWS SageMaker, AWS Bedrock, and AWS Lambda.
• Exposure to Generative AI and Agentic AI ecosystems such as Azure OpenAI, Azure AI Foundry, Azure AI Hub, Bedrock, Anthropic Claude, OpenAI API, LlamaCloud, LangChain.
• Understanding of token usage, LLM prompt injection risks, Jailbreak attempts and mitigation techniques.
• Strong knowledge of governance, audit, observability, and compliance in cloud-based GenAI and ML ecosystems.
• Understanding of Azure AI Evaluation SDK and AI Red Teaming Prompt Security Scans.
• Good to have experience with code assistant tools like Github Copilot, Cursor, and Claude Code.
• Expertise in Azure DevOps or AWS CodePipeline, including setting up and managing CI/CD pipelines.
• Advanced experience with Azure Blob Storage, Cosmos DB, SQL, Key Vault, AWS S3, DynamoDB, and AWS RDS, and their integrations with AI services.
• Advanced understanding of networking concepts, including DNS management, load balancing, VPNs, and virtual networks (VNets).
• Advanced understanding of security concepts, including IAM roles, identities, Azure policies, AWS SCPs.
• Experience in Advanced Authentication and Authorization Concepts across various cloud providers and platforms.
• Experience with Azure Policy, AWS SCP, AWS IAM, audit logging, Azure RBAC.
• Mastery of infrastructure-as-code tools such as Azure ARM / Bicep, Terraform, CloudFormation, or equivalent.
• Proficiency in networking, DNS, load balancers, and cloud engineering services.
• Knowledge in Python programming and AI/ML libraries (TensorFlow, PyTorch, Sci-Kit learn, etc.).
• Experience with containerization and orchestration tools such as Docker and Kubernetes.
• Good to have knowledge about Azure Bot framework, APIM, Application Gateway. Also, knowledge about M365 offerings like M365 Copilot. AWS CDK, AWS Python (Boto3) SDK.
• Experience with monitoring tools like Grafana, Prometheus, Application Insights, Log Analytics Workspaces, and Azure Monitor.
• Strong problem-solving and analytical skills.
• Strong communication and collaboration skills to work effectively with diverse teams.
• Proven leadership abilities to guide and mentor junior engineers.

This role is hybrid, allowing for a mix of office and remote working in Pune, India. Up to 10% travel may be expected. Relocation assistance within India is available.